Optimized Bayesian regularization-back propagation neural network using data-driven intrusion detection system in Internet of Things حسب Ashok Kumar K (21441108)

"…In general, BRBPNN does not show any optimization adaption methods to determine the optimal parameter for appropriate detection. Hence, Binary Black Widow Optimization Algorithm (BBWOA) is proposed in this manuscript to improve the BRBPNN classifier that detects intrusion precisely. …"

Joint Network Reconstruction and Community Detection from Rich but Noisy Data حسب Jie Hu (130301)

"…In this article, we propose a novel framework, called the group-based binary mixture (GBM) modeling approach, to simultaneously conduct network reconstruction and community detection from such rich but noisy data. …"

Table 1_A comparative analysis of binary and multi-class classification machine learning algorithms to detect current frailty status using the English longitudinal study of ageing... حسب Charmayne Mary Lee Hughes (12959972)

"…</p>Conclusion<p>Machine learning algorithms show promise for the detection of current frailty status, particularly in binary classification. …"

<b>DDS3 - Dataset of mosaic sputum smear microscopy images for evaluation of bacillus detection algorithms</b> حسب Marly G F Costa (19812192)

"…<p dir="ltr"><b>DDS3 - Dataset of mosaic sputum smear microscopy images for evaluation of bacillus detection algorithms</b></p><p dir="ltr">This data set corresponds to mosaic images that are composed of a 10x10 arrangement of patches (negatives and positives) from the DDS1 dataset, resulting in a 400x400 pixel image. …"

Confusion metrics using LR-HaPi algorithm. حسب Akib Mohi Ud Din Khanday (19065631)

"…HAPI combines conventional feature engineering methods with machine learning techniques to achieve high accuracy in propaganda detection. This study is conducted on data collected from Twitter via its API, and an annotation scheme is proposed to categorize tweets into binary classes (propaganda and non-propaganda). …"

Confusion metrics using MNB-HaPi algorithm. حسب Akib Mohi Ud Din Khanday (19065631)

"…HAPI combines conventional feature engineering methods with machine learning techniques to achieve high accuracy in propaganda detection. This study is conducted on data collected from Twitter via its API, and an annotation scheme is proposed to categorize tweets into binary classes (propaganda and non-propaganda). …"

Confusion metrics using DT-HaPi algorithm. حسب Akib Mohi Ud Din Khanday (19065631)

"…HAPI combines conventional feature engineering methods with machine learning techniques to achieve high accuracy in propaganda detection. This study is conducted on data collected from Twitter via its API, and an annotation scheme is proposed to categorize tweets into binary classes (propaganda and non-propaganda). …"

Confusion metrics using SVM-HaPi algorithm. حسب Akib Mohi Ud Din Khanday (19065631)

"…HAPI combines conventional feature engineering methods with machine learning techniques to achieve high accuracy in propaganda detection. This study is conducted on data collected from Twitter via its API, and an annotation scheme is proposed to categorize tweets into binary classes (propaganda and non-propaganda). …"

Linear time dynamic programming for computing breakpoints in the regularization path of models selected from a finite set حسب Joseph Vargovich (11706769)

Particle tracking validation of the S8 algorithm. حسب Jennifer M. Knighten (15453354)

Effect of different randomization constraints on pattern detection. حسب Zachary P. Neal (9946331)

Image from video analysis. حسب Yunlin Li (6049214)

Data_Sheet_1_Automatic Detection for Multi-Labeled Cardiac Arrhythmia Based on Frame Blocking Preprocessing and Residual Networks.PDF حسب Zicong Li (228040)

"…This study aimed to develop an auto-detection algorithm, which extracts valid features from 12-lead ECG for classifying multiple types of cardiac states.…"

Association between crowding and oral habits. حسب Kengo Oka (1420585)

"…The dataset was created, and AI-based binary classification models for malocclusion were developed using an automated machine learning platform (DataRobot) to construct three algorithms for determining malocclusion (deep bite, maxillary protrusion, and crowding). …"

Association between deep bite and oral habits. حسب Kengo Oka (1420585)

"…The dataset was created, and AI-based binary classification models for malocclusion were developed using an automated machine learning platform (DataRobot) to construct three algorithms for determining malocclusion (deep bite, maxillary protrusion, and crowding). …"

Breakdown of participants by residential area. حسب Kengo Oka (1420585)

"…The dataset was created, and AI-based binary classification models for malocclusion were developed using an automated machine learning platform (DataRobot) to construct three algorithms for determining malocclusion (deep bite, maxillary protrusion, and crowding). …"

Each variable for the dataset. حسب Kengo Oka (1420585)

"…The dataset was created, and AI-based binary classification models for malocclusion were developed using an automated machine learning platform (DataRobot) to construct three algorithms for determining malocclusion (deep bite, maxillary protrusion, and crowding). …"

Framework for data extraction from Twitter. حسب Akib Mohi Ud Din Khanday (19065631)

"…HAPI combines conventional feature engineering methods with machine learning techniques to achieve high accuracy in propaganda detection. This study is conducted on data collected from Twitter via its API, and an annotation scheme is proposed to categorize tweets into binary classes (propaganda and non-propaganda). …"

Data_Sheet_1_DINTD: Detection and Inference of Tandem Duplications From Short Sequencing Reads.docx حسب Jinxin Dong (9229511)

Image 1_From genetic data to kinship clarity: employing machine learning for detecting incestuous relations.jpeg حسب Dejan Šorgić (21459863)

"…Introduction:<p>The aim of the study was to develop a predictive model based on STR profiles of mothers and children for the detection of incestuous conception.</p>Methods:<p>Based on allele frequency data from the USA and Saudi Arabia, STR profiles were generated and used to simulate offspring profiles corresponding to father-child and brother-sister incest scenarios. …"